The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Quantitative structure–permeability relationships (QSPRs) for percutaneous absorption
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Citations
Cites
Potts, R. O., & Guy, R. H. (1992) · Pharmaceutical Research · doi:10.1023/a:1015810312465 · Cited by 1,570
Scheuplein, R. J., & Blank, I. H. (1971) · Physiological Reviews · doi:10.1152/physrev.1971.51.4.702 · Cited by 1,398
Percutaneous Absorption. On the Relevance of in Vitro Data
Franz, T. J. (1975) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12533356 · Cited by 1,132
Molecular Connectivity in Structure-Activity Analysis
Kier, L. B., & Hall, L. H. (1986) · Medical Entomology and Zoology · Cited by 1,083
Drug permeation through human skin: Theory and invitro experimental measurement
Michaels, A. S., Chandrasekaran, S. K., & Shaw, J. E. (1975) · AIChE Journal · doi:10.1002/aic.690210522 · Cited by 801
Dermatological formulations: Percutaneous absorption
(1984) · General Pharmacology: The Vascular System · doi:10.1016/0306-3623(84)90021-1 · Cited by 589
Drugs and the Pharmaceutical Sciences
(2010) · Drugs and the pharmaceutical sciences · doi:10.1201/ihcdruphasci · Cited by 586
Skin Permeability In Vivo: Comparison in Rat, Rabbit, Pig and Man
Bartek, M. J., Labudde, J. A., & Maibach, H. I. (1972) · Journal of Investigative Dermatology · doi:10.1111/1523-1747.ep12538909 · Cited by 510
Estimating skin permeation. The validation of five mathematical skin permeation models
Wilschut, A., ten Berge, W. F., Robinson, P. J., & McKone, T. E. (1995) · Chemosphere · doi:10.1016/0045-6535(95)00023-2 · Cited by 463
Methods for in vitro percutaneous absorption studies II. Animal models for human skin
Bronaugh, R. L., Stewart, R. F., & Congdon, E. R. (1982) · Toxicology and Applied Pharmacology · doi:10.1016/0041-008x(82)90149-1 · Cited by 459
Cited by
Transdermal skin delivery: Predictions for humans from in vivo, ex vivo and animal models☆
GODIN, B., & TOUITOU, E. (2007) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2007.07.004 · Cited by 675
Nanotechnology and the transdermal routeA state of the art review and critical appraisal
Cevc, G., & Vierl, U. (2010) · Journal of Controlled Release · doi:10.1016/j.jconrel.2009.10.016 · Cited by 560
Gonzalez-Diaz, H., Arrasate, S., Gomez-SanJuan, A., Sotomayor, N., Lete, E., Besada-Porto, L., & Ruso, J. (2013) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026611313140011 · Cited by 101
Heffell, Q., Turko, A. J., & Wright, P. A. (2018) · Journal of Comparative Physiology B · doi:10.1007/s00360-017-1123-4 · Cited by 20
Metadata
- Authors
- Moss, G. P., Dearden, J. C., Patel, H., & Cronin, M. T. D.
- Venue
- Toxicology in Vitro
- Publisher
- Elsevier BV
- Published
- 2002-06
- Volume
- 16
- Issue
- 3
- Pages
- 299-317
- ISSN
- 0887-2333 (ISSN-L)
- OpenAlex
- W1995412478
- Cited by
- 268
- References
- 55
- FWCI
- 12.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
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- CoChat. (2026). Citation check: Quantitative structure–permeability relationships (QSPRs) for percutaneous absorption. https://app.cochat.ai/papers/10.1016/s0887-2333(02)00003-6
- The paper
- Moss, G. P., Dearden, J. C., Patel, H., & Cronin, M. T. D. (2002). Quantitative structure–permeability relationships (QSPRs) for percutaneous absorption. Toxicology in Vitro. https://doi.org/10.1016/s0887-2333(02)00003-6
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.